Instructions to use Sayan18/finetune_starcoder2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sayan18/finetune_starcoder2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Sayan18/finetune_starcoder2") - Notebooks
- Google Colab
- Kaggle
Download Training Results/W&B Chart 3_25_2024, 12_20_00 AM.png from Sayan18/finetune_starcoder2: direct link, hf CLI and curl.
- Browser
- Download file 287 kB
-
https://huggingface.co/Sayan18/finetune_starcoder2/resolve/main/Training%20Results/W%26B%20Chart%203_25_2024%2C%2012_20_00%20AM.png
- Command line
-
hf download 'hf://Sayan18/finetune_starcoder2/Training Results/W&B Chart 3_25_2024, 12_20_00 AM.png'
-
curl -L -o 'W&B Chart 3_25_2024, 12_20_00 AM.png' https://huggingface.co/Sayan18/finetune_starcoder2/resolve/main/Training%20Results/W%26B%20Chart%203_25_2024%2C%2012_20_00%20AM.png
287 kB
